Bone Metabolism in Very Preterm Infants Receiving Total Parenteral Nutrition: do Intravenous Fat Emulsions Have an Impact?

ery preterm infants (<32 weeks' gestation) are at high risk for impaired skeletal development because of factors that limit the provision of extrauterine nutrients. Cumulative net deficiencies of calcium, phosphorus, docosahexaenoic acid (DHA), and arachidonic acid (ARA) are evident in these infants after prolonged administration of total parenteral nutrition (TPN). This is significant because minerals as well as metabolites of DHA and ARA are important modulators of bone cell differentiation, lengthening of bone, and bone matrix deposition. Furthermore, diets containing only precursors of DHA and ARA result in suboptimal skeletal growth. With the emergence of new intravenous lipid emulsions, it is important to understand the impact of fatty acids on bone metabolism in the third trimester in order to optimize the provision of TPN in very preterm infants. The purpose of this review is to evaluate current evidence regarding intravenous lipid emulsions and bone metabolism in very preterm infants receiving prolonged TPN and to identify areas of research needed.info:eu-repo/semantics/publishedVersio

Reprogramming human cells to naïve pluripotency: how close are we?

Pluripotent stem cells (PSCs) have the potential to revolutionize biomedical science; however, while it is simple to reproducibly obtain comparable, stable cell lines in mouse, those produced from human material typically show significant variability both within and between cell lines. This is likely due to differences in the cell identity of conventional mouse and human PSCs. It is hoped that recently identified conditions to reprogram human cells to a naïve-like state will produce better PSCs resulting in reproducible experimental outcomes and more consistent differentiation protocols. In this review we discuss the latest literature on the discovery of human naïve-like stem cells and examine how similar they are to both mouse naïve cells and the preimplantation human epiblast.L.E.B. is the recipient of a MRC PhD studentship and J.C.R.S. of a Wellcome Trust Senior Research Fellowship (WT101861)

Physicochemical and microbiological characteristics of Italian salami made of lamb and enriched with pequi (Caryocar brasiliense, Cambess)

The purpose of this study was to evaluate and compare the inclusion of different levels of pequi (Caryocar Brasiliense, Cambess) pulp in the processing of Italian salami made of lamb for the evaluation of their physicochemical and microbiological characteristics. Six formulations of Italian salamis were processed: no pequi pulp (control - treatment 1); 4% pequi pulp (treatment 2); 8% pequi pulp (treatment 3), 12% pequi pulp (Treatment 4), 16% pequi pulp (treatment 5) and 20% pequi pulp (treatment 6). During the maturation period, all Italian salamis made of lamb enriched with pequi presented similar behaviors; and acidity (pH) and water activity (aw) results showed stable end values. For protein, the Italian salami made of lamb without pequi pump presented a higher content. For one of the lowest contents of fat, treatment 3 showed the highest content of humidity. The contents of fat and ashes did not present any significant difference when comparing the Italian salami formulations. A color tending to dark, yellowish and reddish shades was observed in the Italian salamis made of lamb and enriched with pequi. All Italian salamis were microbiologically satisfactory, showing ideal sanitary conditions for consumption. Pequi is a typical fruit from the Brazilian cerrado region, with characteristic color, odor and flavor, and it is an option for inclusion in Italian salamis, but additional studies should be conducted to inspect the sensory acceptability of these products.Keywords: Cerrado fruit, fermented stuffed meat sausages, physicochemical parameters, microbiological parameters

Patients- and physicians- priorities for improvement: The case of rheumatic diseases

OBJECTIVES: To compare the health priorities elected by patients with rheumatic diseases and by their attending rheumatologists. PATIENTS AND METHODS: We undertook a cross-sectional study among patients and rheumatologists in Portuguese rheumatology outpatient clinics. 75% of all Portuguese Rheumatology Departments agreed to participate. Rheumatologists from non-participating hospital departments were asked to collaborate through their private practices. All patients were eligible for inclusion except if they were under 18 years of age or had a mental disorder that would affect their participation. Data were collected through dedicated questionnaires. Patients were asked to indicate 3 priorities for improvement out of 12 health domains (Arthritis Impact Measurement Scale 2) regarding their rheumatic disease. Rheumatologists were asked similar questions focused around rheumatoid arthritis (RA) and osteoarthritis (OA). RESULTS: 1,868 patients and 56 rheumatologists entered the study. The most commonly selected priorities by patients with rheumatic diseases were: "Rheumatic pain" (70%), "Walking and bending" (45%), and "Hand and Finger Function" (40%). The main priority for improvement among patients with RA was "Rheumatic Pain" (69%), while rheumatologists more commonly elected "Work" (55%) as their main priority for these patients. Among patients with OA, "Rheumatic Pain" was the first priority for both patients and doctors (elected by 75%, and 55% of respondents, respectively). CONCLUSIONS: Our study showed discordance between the priorities for improvement elected by patients and by their respective physicians. This was more pronounced in RA than in OA. Studying and addressing such differences may support physicians and institutions to better achieve the prime goal of incorporating and responding to patients' needs and preferences

Mapping of Alternative Oilseeds from the Brazilian Caatinga and Assessment of Catalytic Pathways toward Biofuels Production

Biofuels are increasingly important renewable resources in the world's energy matrix that have challenged the scientific community as well as small and large farmers to develop alternatives to fossil fuels in order to achieve the aims of energy transition. In particular, Brazil's proven competitiveness in agribusiness together with its rich biodiversity put the country in a key position in the biofuels market. The semiarid Caatinga of northeastern Brazil, an exclusive biome rich in many oilseed species suitable for potential energy purposes, is of particular interest in this field. Nowadays, soybeans are the main feedstock used for the production of biodiesel, but, due to the increasing demand for biofuels, the search for alternative sources of oil from tropical flora with high productivity is crucial. Under this premise, this systematic review focuses on mapping Caatinga's vegetable oil crops that could be used as alternative raw materials for biofuels' production in Brazil, in addition to traditional soybeans and sugarcane. To gain more detailed insight into these matrices, their main properties, including oil content, fatty acid profile and physicochemical properties, are discussed. Moreover, an overview is provided of processes to synthesize different types of biofuels, particularly biodiesel and aviation biokerosene, including the routes employing homogeneous, enzymatic and mainly heterogeneous catalysts. Finally, future prospects and challenges for renewable biofuels and the Caatinga biome are addressed

Covid-19 Dynamic Monitoring and Real-Time Spatio-Temporal Forecasting

Background: Periodically, humanity is often faced with new and emerging viruses that can be a significant global threat. It has already been over a century post—the Spanish Flu pandemic, and we are witnessing a new type of coronavirus, the SARS-CoV-2, which is responsible for Covid-19. It emerged from the city of Wuhan (China) in December 2019, and within a few months, the virus propagated itself globally now resulting more than 50 million cases with over 1 million deaths. The high infection rates coupled with dynamic population movement demands for tools, especially within a Brazilian context, that will support health managers to develop policies for controlling and combating the new virus. / Methods: In this work, we propose a tool for real-time spatio-temporal analysis using a machine learning approach. The COVID-SGIS system brings together routinely collected health data on Covid-19 distributed across public health systems in Brazil, as well as taking to under consideration the geographic and time-dependent features of Covid-19 so as to make spatio-temporal predictions. The data are sub-divided by federative unit and municipality. In our case study, we made spatio-temporal predictions of the distribution of cases and deaths in Brazil and in each federative unit. Four regression methods were investigated: linear regression, support vector machines (polynomial kernels and RBF), multilayer perceptrons, and random forests. We use the percentage RMSE and the correlation coefficient as quality metrics. / Results: For qualitative evaluation, we made spatio-temporal predictions for the period from 25 to 27 May 2020. Considering qualitatively and quantitatively the case of the State of Pernambuco and Brazil as a whole, linear regression presented the best prediction results (thematic maps with good data distribution, correlation coefficient >0.99 and RMSE (%) <4% for Pernambuco and around 5% for Brazil) with low training time: [0.00; 0.04 ms], CI 95%. / Conclusion: Spatio-temporal analysis provided a broader assessment of those in the regions where the accumulated confirmed cases of Covid-19 were concentrated. It was possible to differentiate in the thematic maps the regions with the highest concentration of cases from the regions with low concentration and regions in the transition range. This approach is fundamental to support health managers and epidemiologists to elaborate policies and plans to control the Covid-19 pandemics

The elastic constants of MgSiO3 perovskite at pressures and temperatures of the Earth's mantle

The temperature anomalies in the Earth's mantle associated with thermal convection1 can be inferred from seismic tomography, provided that the elastic properties of mantle minerals are known as a function of temperature at mantle pressures. At present, however, such information is difficult to obtain directly through laboratory experiments. We have therefore taken advantage of recent advances in computer technology, and have performed finite-temperature ab initio molecular dynamics simulations of the elastic properties of MgSiO3 perovskite, the major mineral of the lower mantle, at relevant thermodynamic conditions. When combined with the results from tomographic images of the mantle, our results indicate that the lower mantle is either significantly anelastic or compositionally heterogeneous on large scales. We found the temperature contrast between the coldest and hottest regions of the mantle, at a given depth, to be about 800K at 1000 km, 1500K at 2000 km, and possibly over 2000K at the core-mantle boundary.Comment: Published in: Nature 411, 934-937 (2001

Opicapone in UK clinical practice: effectiveness, safety and cost analysis in patients with Parkinson's disease.

Aim: This subanalysis of the OPTIPARK study aimed to confirm the effectiveness and safety of opicapone in patients with Parkinson's disease and motor fluctuations in clinical practice specifically in the UK and to assess the impact of opicapone on treatment costs. Methods: Patients received opicapone added to levodopa for 6 months. Clinical outcomes were assessed at 3 and 6 months and treatment costs at 6 months. Results: Most patients' general condition improved at 3 months, with sustained improvements reported at 6 months. Opicapone improved motor and non-motor symptoms at both timepoints, was generally well tolerated and reduced total treatment costs by GBP 3719. Conclusion: Opicapone added to levodopa resulted in clinical improvements and reduced treatment costs across UK clinical practice

Characterization of mycobacteria and mycobacteriophages isolated from compost at the São Paulo Zoo Park Foundation in Brazil and creation of the new mycobacteriophage Cluster U

Background: A large collection of sequenced mycobacteriophages capable of infecting a single host strain of Mycobacterium smegmatis shows considerable genomic diversity with dozens of distinctive types (clusters) and extensive variation within those sharing evident nucleotide sequence similarity. Here we profiled the mycobacterial components of a large composting system at the São Paulo zoo. Results: We isolated and sequenced eight mycobacteriophages using Mycobacterium smegmatis mc2155 as a host. None of these eight phages infected any of mycobacterial strains isolated from the same materials. The phage isolates span considerable genomic diversity, including two phages (Barriga, Nhonho) related to Subcluster A1 phages, two Cluster B phages (Pops, Subcluster B1; Godines, Subcluster B2), three Subcluster F1 phages (Florinda, Girafales, and Quico), and Madruga, a relative of phage Patience with which it constitutes the new Cluster U. Interestingly, the two Subcluster A1 phages and the three Subcluster F1 phages have genomic relationships indicating relatively recent evolution within a geographically isolated niche in the composting system. Conclusions: We predict that composting systems such as those used to obtain these mycobacteriophages will be a rich source for the isolation of additional phages that will expand our view of bacteriophage diversity and evolution